Evaluation of an Adaptive Multimedia Streaming in Mobile Cloud Computing for Slow-Speed Networks

Abstract

Multimedia cloud (MC) is an aspect of cloud computing that facilitates the effective use of multimedia services by end users in the context of cloud infrastructures. Despite rising network traffic, cloud computing technology provides novel strategies for disseminating visual content; adaptive encoding is implemented at the cloud server to optimise performance. However, streaming video over the Internet has caused a slew of problems, including sporadic interruptions, delays, inadequate bandwidth, and oscillating link conditions, all of which contribute to poor quality of service (QoS). This study presents an adaptable streaming method to grapple with delays, sporadic interruptions, and bandwidth alterations. The adaption logic concept was used to develop the scheme, which was then put into practice utilising the Java programming language and cloud computing. A variety of network circumstances were used to test the method using pre-recorded video sequences that were separated into chunks with fewer frames. The evaluation findings showed that the suggested streaming technique can dynamically adapt to different bandwidth changes, making it ideal for slow-speed network situations. The system is also capable of delivering seamless, interruption-free video playback.